Evidence map›Paper›PMID 29304762›Full record

ArticleBMC cancer2018

A novel lncRNA-focus expression signature for survival prediction in endometrial carcinoma.

Meng Zhou, Zhaoyue Zhang, Hengqiang Zhao, Siqi Bao, Jie Sun

Abstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed.

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  16. Non-Coding RNAs as Prognostic Markers for Endometrial Cancer.International journal of molecular sciences · 2021
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Meng ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China.
Zhaoyue ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China.
Hengqiang ZhaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China.
Siqi BaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China.
Jie SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China. suncarajie@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndometrial cancer (UCEC) is a complex malignant tumor characterized by both genetic level and clinical trial. Patients with UCEC exhibit the similar clinical features, however, they have distinct outcomes due to molecular heterogeneity. The aim of this study was to access the prognostic value of long non-coding RNAs (lncRNAs) in UCEC patients and to identify potential lncRNA signature for predicting patients' survival and improving patient-tailored treatment.

methodsWe performed a comprehensive genome-wide analysis of lncRNA expression profiles and clinical data in a large cohort of 301 UCEC patients. UCEC patients were randomly divided into the discovery cohort (n = 150) and validation cohort (n = 151). A novel lncRNA-focus expression signature was identified in the discovery cohort, and independently accessed in the validation cohort. Additionally, the lncRNA signature was evaluated by multivariable Cox regression and stratification analysis as well as functional enrichment analysis.

resultsWe detected a novel lncRNA-focus expression signature (LFES) consisting of 11 lncRNAs that were associated with survival based on risk scoring strategy in UCEC. The risk score based on the LFES was able to separate patients of discovery cohort into high-risk and low-risk groups with significantly different overall survival and progression-free survival, and has been successfully confirmed in the validation cohort. Furthermore, the LFES is an independent prognostic predictor of survival and demonstrates superior prognostic performance compared with the clinical covariates for predicting 5-year survival (AUC = 0.887). Functional analysis has linked the expression of prognostic lncRNAs to well-known tumor suppressor or ontogenetic pathways in endometrial carcinogenesis.

conclusionsOur study revealed a novel 11-lncRNA signature to predict survival of UCEC patient. This lncRNA signature may be a valuable and alternative marker for risk evaluation to aid patient-tailored treatment and improve the outcome of patients with UCEC.

Indexed as

PrognosisAdultAgedBiomarkers, TumorDatabases, GeneticDisease-Free SurvivalEndometrial NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMiddle AgedNeoplasm StagingProportional Hazards ModelsRisk FactorsRNA, Long NoncodingBiomarkers, TumorRNA, Long NoncodingEndometrial cancerLong non-coding RNAsSignatureSurvival

Identifiers

PMID29304762
PMCPMC5756389

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.